Romeo-Victo Ionescu, M. Zlati, V. Antohi, V. Cornea, M. Socoliuc
The opportunity of this research topic lies in the current extremely challenging geopolitical context that has led to the outbreak of multiple crises: energy, economic, social, financial, food, etc. The European Union has thus positioned itself in the face of these phenomena by creating several instruments to manage crises and increase resilience: civil protection mechanism, integrated mechanism for political response to crises, cross-border cooperation and solidarity mechanisms, food security crisis plans, resilience measures against physical and digital risks.The paper aims to analyse the necessity of changing the regional approach across the EU under the impact of the pandemic. Specific regional socio-economic indicators for EU NUTS2 regions are analysed during 2010–2021. The main objective of this research is to quantify the regional socioeconomic and to realise comparative analysis related to three moments in time: the latest EU enlargement, the economic crisis and the pandemic. The novelty of the study was the building of a new dynamic multi-criteria model assessing the strategic perspective, which was built to offer pertinent solutions for the regional decision makers in order to ensure cohesion and sustainable development on short and medium term.
{"title":"THE IMPLEMENTATION OF THE REGIONAL DEVELOPMENT INDEX IN THE NEW GEO-POLITICAL CONTEXT","authors":"Romeo-Victo Ionescu, M. Zlati, V. Antohi, V. Cornea, M. Socoliuc","doi":"10.3846/tede.2023.19261","DOIUrl":"https://doi.org/10.3846/tede.2023.19261","url":null,"abstract":"The opportunity of this research topic lies in the current extremely challenging geopolitical context that has led to the outbreak of multiple crises: energy, economic, social, financial, food, etc. The European Union has thus positioned itself in the face of these phenomena by creating several instruments to manage crises and increase resilience: civil protection mechanism, integrated mechanism for political response to crises, cross-border cooperation and solidarity mechanisms, food security crisis plans, resilience measures against physical and digital risks.The paper aims to analyse the necessity of changing the regional approach across the EU under the impact of the pandemic. Specific regional socio-economic indicators for EU NUTS2 regions are analysed during 2010–2021. The main objective of this research is to quantify the regional socioeconomic and to realise comparative analysis related to three moments in time: the latest EU enlargement, the economic crisis and the pandemic. The novelty of the study was the building of a new dynamic multi-criteria model assessing the strategic perspective, which was built to offer pertinent solutions for the regional decision makers in order to ensure cohesion and sustainable development on short and medium term.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"3 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84500410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The complexity of goods and services in the current world has caused individual companies that do not have the help and cooperation of other organizations to face many problems for their survival. In this paper, a system dynamics model was proposed by creating a cause-effect curve to increase supply chain (SC) performance with an emphasis on agility and flexibility (AAF) indicators. The proposed model aimed to reduce cost and delivery time and increase customer satisfaction by considering AAF indicators. To this end, the concepts used were first introduced. Afterward, the important goals were identified by reviewing the existing literatures and interviewing experts in the field of AAF indicators in the studied SC. In the next step, the model was constructed by determining the cause-and-effect (CAE) relationships between the variables. Finally, by developing and simulating different scenarios, the results showed that AAF alone and absolutely cannot enhance profitability. By implication, to increase profitability, AAF do not need to be enhanced to the highest level, but an optimal point must be found. Finally, an optimal level of AAF was estimated. by using this system and considering that this system supports the production line, the ability to respond to sudden demands is increased and as a result, the speed of covering these demands increases.
{"title":"SYSTEM DYNAMICS: AN APPROACH TO MODELING SUPPLY CHAIN PERFORMANCE MEASUREMENT","authors":"Pei-Yi Liu, Morteza Atifeh, Mohsen Khorshidnia, Seyed Ghiasuddin Taheri","doi":"10.3846/tede.2023.19211","DOIUrl":"https://doi.org/10.3846/tede.2023.19211","url":null,"abstract":"The complexity of goods and services in the current world has caused individual companies that do not have the help and cooperation of other organizations to face many problems for their survival. In this paper, a system dynamics model was proposed by creating a cause-effect curve to increase supply chain (SC) performance with an emphasis on agility and flexibility (AAF) indicators. The proposed model aimed to reduce cost and delivery time and increase customer satisfaction by considering AAF indicators. To this end, the concepts used were first introduced. Afterward, the important goals were identified by reviewing the existing literatures and interviewing experts in the field of AAF indicators in the studied SC. In the next step, the model was constructed by determining the cause-and-effect (CAE) relationships between the variables. Finally, by developing and simulating different scenarios, the results showed that AAF alone and absolutely cannot enhance profitability. By implication, to increase profitability, AAF do not need to be enhanced to the highest level, but an optimal point must be found. Finally, an optimal level of AAF was estimated. by using this system and considering that this system supports the production line, the ability to respond to sudden demands is increased and as a result, the speed of covering these demands increases.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"49 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87752262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
The construction sector plays a significant role in national economic development and accounts for a dominant portion of national economic growth. The international construction industry’s development has been explored from the perspective of the economy. Internationalization improves awareness about participation in international trade activities. This paper aims to quantify the internationalization of the construction industry in the global value chain. The sectoral participation index and interaction index are conducted to evaluate the internationalized degree of the construction industries. In the results, the distribution of the backward participation indices shows nearly all countries’ internationalization processes were still at the stage of benefiting from primary resources. The forward support index is easily influenced by the scale effect. The backward independence index accounts for a small percentage of national imports measured by value added. The main source of value-added supply was the local construction sector. This study proposes a comprehensive indicator to quantify the internationalization of the construction industries in the sight of national and global points. The references have a positive value for policymakers in the management of value-added flows in the international market and adjustment of the foreign trade environment.
{"title":"INTERNATIONALIZATION OF THE CONSTRUCTION INDUSTRY IN THE GLOBAL VALUE CHAIN","authors":"Wentao Niu, Zhenzhen Xu, Bin Liu, Chunlu Liu","doi":"10.3846/tede.2023.19426","DOIUrl":"https://doi.org/10.3846/tede.2023.19426","url":null,"abstract":"The construction sector plays a significant role in national economic development and accounts for a dominant portion of national economic growth. The international construction industry’s development has been explored from the perspective of the economy. Internationalization improves awareness about participation in international trade activities. This paper aims to quantify the internationalization of the construction industry in the global value chain. The sectoral participation index and interaction index are conducted to evaluate the internationalized degree of the construction industries. In the results, the distribution of the backward participation indices shows nearly all countries’ internationalization processes were still at the stage of benefiting from primary resources. The forward support index is easily influenced by the scale effect. The backward independence index accounts for a small percentage of national imports measured by value added. The main source of value-added supply was the local construction sector. This study proposes a comprehensive indicator to quantify the internationalization of the construction industries in the sight of national and global points. The references have a positive value for policymakers in the management of value-added flows in the international market and adjustment of the foreign trade environment.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"6 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86189728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yemin Ding, Lee Chin, Fangyan Li, Peidong Deng, Shufeng Cong
Using panel data from 269 Chinese cities, this study examined the impact of housing prices (HP) on cities’ innovation capacity (IC) in China. Firstly, a fixed effect model was used to analyze the effect of HP on cities’ IC in China, revealing that HP positively impacts cities’ IC. Next, several robustness tests were conducted to verify the finding’s reliability. Thirdly, the analysis empirically tested mediating mechanisms between HP and cities’ IC in China. The results show that, on the one hand, higher HP can improve cities’ IC by attracting talents and stimulating the growth of local fiscal revenue. On the other, increasing HP can inhibit cities’ IC in China by attracting funds into the real estate market and impeding residents’ consumption ability. Finally, the heterogeneous nature of the HP–IC link in China was further explored. This study’s results provide recommendations for the government of China on how to promote cities’ innovation performance.
{"title":"HOW DO HOUSING PRICES AFFECT A CITY'S INNOVATION CAPACITY? THE CASE OF CHINA","authors":"Yemin Ding, Lee Chin, Fangyan Li, Peidong Deng, Shufeng Cong","doi":"10.3846/tede.2023.18899","DOIUrl":"https://doi.org/10.3846/tede.2023.18899","url":null,"abstract":"Using panel data from 269 Chinese cities, this study examined the impact of housing prices (HP) on cities’ innovation capacity (IC) in China. Firstly, a fixed effect model was used to analyze the effect of HP on cities’ IC in China, revealing that HP positively impacts cities’ IC. Next, several robustness tests were conducted to verify the finding’s reliability. Thirdly, the analysis empirically tested mediating mechanisms between HP and cities’ IC in China. The results show that, on the one hand, higher HP can improve cities’ IC by attracting talents and stimulating the growth of local fiscal revenue. On the other, increasing HP can inhibit cities’ IC in China by attracting funds into the real estate market and impeding residents’ consumption ability. Finally, the heterogeneous nature of the HP–IC link in China was further explored. This study’s results provide recommendations for the government of China on how to promote cities’ innovation performance.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"326 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80368375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
According to the trading rules and financial data structure of the stock index futures market, and considering the impact of major emergencies, we intend to build a quantitative investment decision-making model based on machine learning. We first adopt the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) signal decomposition technology to separate the short-term noise, cycle transformation and long-term trend from the original series, and use the CSI 500 Baidu index series to reflect the investors’ attention, which provides data support for establishing a more effective forecasting model. Then, the CEEMDANBP neural network model is designed based on the obtained effective information of low-frequency trend series, investor attention index and CSI 500 stock index futures market transaction data. Finally, an Attention-based Dual Thrust quantitative trading strategy is proposed and optimized. The optimized Attention-based Dual Thrust strategy solves the core problem of breakout interval determination, effectively avoids the risk of subjective selection, and can meet investors’ different risk preferences. The quantitative investment decision-making model based on CEEMDAN-BP neural network utilizes the advantages of different algorithms, avoids some defects of a single algorithm, and can make corresponding adjustments according to changes in investors’ attention and the occurrence of emergencies. The results show that considering investor attention can not only improve the predictive ability of the model, but also reduce the cognitive bias of the market, effectively control risks and obtain higher returns.
根据股指期货市场的交易规律和金融数据结构，考虑重大突发事件的影响，拟构建基于机器学习的量化投资决策模型。我们首先采用CEEMDAN (Complete Ensemble Empirical Mode Decomposition with Adaptive Noise)信号分解技术，从原始序列中分离出短期噪声、周期变换和长期趋势，并利用沪深500百度指数序列反映投资者关注程度，为建立更有效的预测模型提供数据支持。然后，基于获得的低频趋势序列、投资者关注指数和沪深500股指期货市场交易数据的有效信息，设计CEEMDANBP神经网络模型。最后，提出并优化了基于注意力的双推力定量交易策略。优化后的基于关注的双推力策略解决了突破区间确定的核心问题，有效避免了主观选择的风险，能够满足投资者不同的风险偏好。基于CEEMDAN-BP神经网络的定量投资决策模型利用了不同算法的优点，避免了单一算法的一些缺陷，并能根据投资者注意力的变化和突发事件的发生做出相应的调整。结果表明，考虑投资者关注不仅可以提高模型的预测能力，还可以减少市场的认知偏差，有效控制风险，获得更高的收益。
{"title":"QUANTITATIVE INVESTMENT DECISIONS BASED ON MACHINE LEARNING AND INVESTOR ATTENTION ANALYSIS","authors":"Jie Ying Gao, Yunshu Mao, Zeshui Xu, Qianlin Luo","doi":"10.3846/tede.2023.18672","DOIUrl":"https://doi.org/10.3846/tede.2023.18672","url":null,"abstract":"According to the trading rules and financial data structure of the stock index futures market, and considering the impact of major emergencies, we intend to build a quantitative investment decision-making model based on machine learning. We first adopt the Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) signal decomposition technology to separate the short-term noise, cycle transformation and long-term trend from the original series, and use the CSI 500 Baidu index series to reflect the investors’ attention, which provides data support for establishing a more effective forecasting model. Then, the CEEMDANBP neural network model is designed based on the obtained effective information of low-frequency trend series, investor attention index and CSI 500 stock index futures market transaction data. Finally, an Attention-based Dual Thrust quantitative trading strategy is proposed and optimized. The optimized Attention-based Dual Thrust strategy solves the core problem of breakout interval determination, effectively avoids the risk of subjective selection, and can meet investors’ different risk preferences. The quantitative investment decision-making model based on CEEMDAN-BP neural network utilizes the advantages of different algorithms, avoids some defects of a single algorithm, and can make corresponding adjustments according to changes in investors’ attention and the occurrence of emergencies. The results show that considering investor attention can not only improve the predictive ability of the model, but also reduce the cognitive bias of the market, effectively control risks and obtain higher returns.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"20 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89771760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
With the advent of digital technology and social media, mobile phone companies are increasingly turning to emotional marketing to appeal to consumers’ inner preferences. The purpose of this study is to examine the economic consequences of emotional marketing on customer loyalty, while taking into account the mediating variables of brand identity and brand trust. By surveying 647 digitally-savvy consumers in China, the proposed model was empirically validated. The results suggest that emotional marketing plays a crucial role in fostering consumer loyalty towards mobile phone brands, and that brand identity and brand trust play sequential mediating roles in the impact of emotional marketing on consumer loyalty. This research enhances our understanding of emotional marketing and consumer loyalty, and offers valuable insights for mobile phone brands seeking to implement effective emotional marketing strategies.
{"title":"ECONOMIC IMPLICATIONS OF EMOTIONAL MARKETING BASED ON CONSUMER LOYALTY OF MOBILE PHONE BRANDS: THE SEQUENTIAL MEDIATING ROLES OF BRAND IDENTITY AND BRAND TRUST","authors":"Yaping Jiang, Yanyan Sun, Shibo Tu","doi":"10.3846/tede.2023.19278","DOIUrl":"https://doi.org/10.3846/tede.2023.19278","url":null,"abstract":"With the advent of digital technology and social media, mobile phone companies are increasingly turning to emotional marketing to appeal to consumers’ inner preferences. The purpose of this study is to examine the economic consequences of emotional marketing on customer loyalty, while taking into account the mediating variables of brand identity and brand trust. By surveying 647 digitally-savvy consumers in China, the proposed model was empirically validated. The results suggest that emotional marketing plays a crucial role in fostering consumer loyalty towards mobile phone brands, and that brand identity and brand trust play sequential mediating roles in the impact of emotional marketing on consumer loyalty. This research enhances our understanding of emotional marketing and consumer loyalty, and offers valuable insights for mobile phone brands seeking to implement effective emotional marketing strategies.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"63 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74138506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Xing-yun Zou, Xinman Peng, Xinxin Zhao, Jie Ma, Chun-ping Chang
It is crucial for the advancement of political economics and innovation economics to examine the relationship between income inequality and green innovation (GI). Using the panel fixed effect model, this study investigates the influence of income inequality on GI across 97 countries from 1991 to 2018 and demonstrates a significant non-linear association between the two. The empirical data exhibit an inverted U-shape relationship, suggesting that there is an optimal degree of income inequality that optimizes GI output, and the inflection point of our overall sample is at a Gini coefficient of 0.366. Additionally, we choose a set of robustness tests to validate the results by substituting explained variables, adding omitted variables, and employing the difference and system generalized method of moments (GMM) estimations. Moreover, heterogeneity analysis reveals that the non-linear patterns vary among samples, with the U-shape relationship being more significant in countries with lower income, higher corruption, and weaker government effectiveness. Our findings provide government decision-makers with a crucial reference for maximizing the importance of income distribution in fostering GI and achieving sustainable development.
{"title":"DOES INCOME INEQUALITY AFFECT GREEN INNOVATION? A NON-LINEAR EVIDENCE","authors":"Xing-yun Zou, Xinman Peng, Xinxin Zhao, Jie Ma, Chun-ping Chang","doi":"10.3846/tede.2023.19271","DOIUrl":"https://doi.org/10.3846/tede.2023.19271","url":null,"abstract":"It is crucial for the advancement of political economics and innovation economics to examine the relationship between income inequality and green innovation (GI). Using the panel fixed effect model, this study investigates the influence of income inequality on GI across 97 countries from 1991 to 2018 and demonstrates a significant non-linear association between the two. The empirical data exhibit an inverted U-shape relationship, suggesting that there is an optimal degree of income inequality that optimizes GI output, and the inflection point of our overall sample is at a Gini coefficient of 0.366. Additionally, we choose a set of robustness tests to validate the results by substituting explained variables, adding omitted variables, and employing the difference and system generalized method of moments (GMM) estimations. Moreover, heterogeneity analysis reveals that the non-linear patterns vary among samples, with the U-shape relationship being more significant in countries with lower income, higher corruption, and weaker government effectiveness. Our findings provide government decision-makers with a crucial reference for maximizing the importance of income distribution in fostering GI and achieving sustainable development.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"15 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84058894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This paper examines the digital economy’s impact on rural household consumption upgrading. Existing studies remain mainly at the level of rural consumption scale and rarely address the consumption structure. The specific impact of the development of the digital economy on rural consumption upgrading and its mechanisms of action deserves in-depth study and consideration. We analyzed the related content using the fixed-effect model, the instrumental variable method (IV), the mediation effect model, and three-year panel data from the China Family Panel Studies (CFPS). This study found that, at the scale level, the digital economy contributes to expanding rural household consumption. At the structural level, the digital economy significantly increases the share of enjoyment-oriented household consumption but has no significant effect on development-oriented consumption. Income is an important transmission mechanism for the digital economy to improve rural household consumption. Besides, the impact of the digital economy on the upgrading of rural consumption varies according to income level and age.
{"title":"RESEARCH ON THE IMPACT OF DIGITAL ECONOMY ON RURAL CONSUMPTION UPGRADING: EVIDENCE FROM CHINA FAMILY PANEL STUDIES","authors":"Qiuyang Zhou","doi":"10.3846/tede.2023.19511","DOIUrl":"https://doi.org/10.3846/tede.2023.19511","url":null,"abstract":"This paper examines the digital economy’s impact on rural household consumption upgrading. Existing studies remain mainly at the level of rural consumption scale and rarely address the consumption structure. The specific impact of the development of the digital economy on rural consumption upgrading and its mechanisms of action deserves in-depth study and consideration. We analyzed the related content using the fixed-effect model, the instrumental variable method (IV), the mediation effect model, and three-year panel data from the China Family Panel Studies (CFPS). This study found that, at the scale level, the digital economy contributes to expanding rural household consumption. At the structural level, the digital economy significantly increases the share of enjoyment-oriented household consumption but has no significant effect on development-oriented consumption. Income is an important transmission mechanism for the digital economy to improve rural household consumption. Besides, the impact of the digital economy on the upgrading of rural consumption varies according to income level and age.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"6 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91103286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Laura Arenas, A. M. Gil-Lafuente, Josefa Boria Reverter
This paper uses the case of Spain to investigate whether and how disruptive technology impacts banking stock returns under a high volatility regime and a low volatility regime. For this purpose, a two-factor model with heteroscedastic Markov switching regimes has been applied. The results indicate that disruptive technologies have an impact on Spanish banking stock returns and that the effects are volatility regime dependent, having a relevant positive impact in high volatility regimes and a less relevant negative impact in low volatility regimes. These findings suggest that investors are informed about and acknowledge the advantages of disruptive technologies and will use their adoption as a business strategy to offset adverse market circumstances. During stable market conditions, on the other hand, Spanish banking seems to have less expectations about disruptive technology as a business strategy. To summarise, this paper provides insights into the role of the pricing of banking-related assets and has other relevant implications for investors that include disruptive technology or banking exposed investments in their portfolios.
{"title":"THE IMPACT OF DISRUPTIVE TECHNOLOGY ON BANKING UNDER SWITCHING VOLATILITY REGIMES","authors":"Laura Arenas, A. M. Gil-Lafuente, Josefa Boria Reverter","doi":"10.3846/tede.2023.18976","DOIUrl":"https://doi.org/10.3846/tede.2023.18976","url":null,"abstract":"This paper uses the case of Spain to investigate whether and how disruptive technology impacts banking stock returns under a high volatility regime and a low volatility regime. For this purpose, a two-factor model with heteroscedastic Markov switching regimes has been applied. The results indicate that disruptive technologies have an impact on Spanish banking stock returns and that the effects are volatility regime dependent, having a relevant positive impact in high volatility regimes and a less relevant negative impact in low volatility regimes. These findings suggest that investors are informed about and acknowledge the advantages of disruptive technologies and will use their adoption as a business strategy to offset adverse market circumstances. During stable market conditions, on the other hand, Spanish banking seems to have less expectations about disruptive technology as a business strategy. To summarise, this paper provides insights into the role of the pricing of banking-related assets and has other relevant implications for investors that include disruptive technology or banking exposed investments in their portfolios.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"27 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-08-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84607345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study selects Chinese A-share listed enterprises from 2010 to 2020 as the research sample, constructs a Difference-in-differences model to analyze the Shanghai-Hong Kong stock connect and Shenzhen-Hong Kong stock connect policy on enterprise green innovation. The transmission channels are tested, and the heterogeneity of this impact is further explored. It is found that the Shanghai-Hong Kong stock connect and Shenzhen-Hong Kong stock connect policy has significantly improved the total level, quality and quantity of enterprise green innovation, and the effect on the total level and quality is greater than the quantity. The Shanghai-Hong Kong stock connect and Shenzhen-Hong Kong stock connect policy can effectively alleviate the financing constraints faced by enterprises, improve the information environment of enterprises, and thus improve their green innovation. There is heterogeneity in the nature of property rights, corporate social responsibility, industry monopoly and regional marketization in the promotion of enterprise green innovation by the Shanghai-Hong Kong stock connect and Shenzhen-Hong Kong stock connect policy.
{"title":"DOES CAPITAL MARKET OPENING PROMOTE ENTERPRISE GREEN INNOVATION? EVIDENCE FROM SHANGHAI-HONG KONG STOCK CONNECT AND SHENZHEN-HONG KONG STOCK CONNECT","authors":"Yanwei Lyu, Zuoan Wang, Jinning Zhang","doi":"10.3846/tede.2023.19424","DOIUrl":"https://doi.org/10.3846/tede.2023.19424","url":null,"abstract":"This study selects Chinese A-share listed enterprises from 2010 to 2020 as the research sample, constructs a Difference-in-differences model to analyze the Shanghai-Hong Kong stock connect and Shenzhen-Hong Kong stock connect policy on enterprise green innovation. The transmission channels are tested, and the heterogeneity of this impact is further explored. It is found that the Shanghai-Hong Kong stock connect and Shenzhen-Hong Kong stock connect policy has significantly improved the total level, quality and quantity of enterprise green innovation, and the effect on the total level and quality is greater than the quantity. The Shanghai-Hong Kong stock connect and Shenzhen-Hong Kong stock connect policy can effectively alleviate the financing constraints faced by enterprises, improve the information environment of enterprises, and thus improve their green innovation. There is heterogeneity in the nature of property rights, corporate social responsibility, industry monopoly and regional marketization in the promotion of enterprise green innovation by the Shanghai-Hong Kong stock connect and Shenzhen-Hong Kong stock connect policy.","PeriodicalId":51460,"journal":{"name":"Technological and Economic Development of Economy","volume":"36 1","pages":""},"PeriodicalIF":5.9,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79972790","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：